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AI Engineer (Banking Domain) Jobs in Riyadh, Saudi Arabia | Onsite

Summary

Design and implement AI solutions for banking, including RAG apps, AI agents, and analytics using Python, LangChain, and LLMs.

Location

Riyadh, Saudi Arabia (Onsite)

Job Category

  • Information Technology (IT) & Software
  • Banking & Insurance
  • Science & Research
  • Engineering & Technical

Job Overview

We are seeking a talented AI Engineer (Banking Domain) to join our team in Riyadh, Saudi Arabia. This onsite opportunity is ideal for professionals with 3+ years of experience in Artificial Intelligence, Data Science, or Software Engineering and mandatory experience within the banking industry. The successful candidate will contribute to innovative AI initiatives that transform financial data analysis through modern Generative AI technologies.

As an AI Engineer, you will design and implement intelligent AI solutions, automation workflows, Retrieval-Augmented Generation (RAG) applications, and analytics platforms that support enterprise banking operations. This role offers excellent career growth opportunities through exposure to Large Language Models (LLMs), AI agents, data engineering, professional development, technical training, and industry certification.

Key Responsibilities

  • Design and optimize prompts for financial data extraction and AI-powered banking solutions.
  • Build intelligent AI automation workflows and AI agents.
  • Develop interactive analytics dashboards and data visualization solutions.
  • Implement Retrieval-Augmented Generation (RAG) architectures using financial documentation.
  • Process, prepare, and optimize financial datasets for AI applications.
  • Develop AI-powered solutions using Python and modern AI frameworks.
  • Collaborate with business and technical teams to deliver enterprise AI initiatives.
  • Optimize AI models, workflows, and data pipelines to improve performance and scalability.

Requirements & Qualifications

Education

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related field.

Experience

  • Minimum 3 years of professional experience in Artificial Intelligence, Data Science, or Software Engineering.
  • Mandatory experience within the Banking domain.

Technical Skills

  • Strong expertise in Python, including Pandas, NumPy, Matplotlib, and Seaborn.
  • Hands-on experience with LangChain and LlamaIndex.
  • Experience with Large Language Models (LLMs) and Prompt Engineering.
  • Knowledge of Retrieval-Augmented Generation (RAG) architectures and AI Agents.
  • Experience with Vector Databases.
  • Familiarity with DataRobot and SAS Enterprise Guide (SAS EG).
  • Experience in data processing, automation, and AI-driven analytics.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration abilities.

Salary, Benefits & Career Growth

Benefits

  • Opportunity to work on enterprise AI initiatives within the banking industry.
  • Exposure to cutting-edge Generative AI technologies and intelligent automation platforms.
  • Collaborative environment supporting innovation and digital transformation.

Career Growth

  • Build expertise in Generative AI, Large Language Models, AI Agents, and enterprise banking analytics.
  • Gain hands-on experience with modern AI frameworks, intelligent automation, and data engineering.
  • Benefit from continuous professional development, technical training, certification opportunities, and long-term career advancement.

See also